albertwang8192-2025-07-08-4

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-08-4_v1

model_name: 2025-07-08_4

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-08T17:27:54+00:00

num_battles: 7846

num_wins: 3680

celo_rating: 1268.24

family_friendly_score: 0.5984

family_friendly_standard_error: 0.006932783567947294

submission_type: basic

model_repo: AlbertWang8192/2025-07-08_4

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5834730984449986, 'latency_mean': 1.7136778783798219, 'latency_p50': 1.728084683418274, 'latency_p90': 1.8886767387390138}, {'batch_size': 3, 'throughput': 1.044300543503973, 'latency_mean': 2.863777985572815, 'latency_p50': 2.8652697801589966, 'latency_p90': 3.1616320610046387}, {'batch_size': 5, 'throughput': 1.2261260143370867, 'latency_mean': 4.0535521936416625, 'latency_p50': 4.079014182090759, 'latency_p90': 4.458475160598755}, {'batch_size': 6, 'throughput': 1.29151556512718, 'latency_mean': 4.626471081972122, 'latency_p50': 4.663261651992798, 'latency_p90': 5.176947093009948}, {'batch_size': 8, 'throughput': 1.3443079047862392, 'latency_mean': 5.910432097911834, 'latency_p50': 5.909791111946106, 'latency_p90': 6.697204971313477}, {'batch_size': 10, 'throughput': 1.3803878263416505, 'latency_mean': 7.183721837997436, 'latency_p50': 7.189267158508301, 'latency_p90': 8.088857102394105}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-08_4

is_internal_developer: False

language_model: AlbertWang8192/2025-07-08_4

model_size: 13B

ranking_group: single

throughput_3p7s: 1.19

us_pacific_date: 2025-07-08

win_ratio: 0.46902880448636247

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '\n', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name albertwang8192-2025-07-08-4-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-08-4-v1-mkmlizer to finish
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albertwang8192-2025-07-08-4-v1-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-08-4-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-4-v1-mkmlizer: Downloaded to shared memory in 43.128s
albertwang8192-2025-07-08-4-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_4 already exists in ChaiML
albertwang8192-2025-07-08-4-v1-mkmlizer: Creating repo ChaiML/2025-07-08_4 and uploading /tmp/tmpglcsa5pu to it
albertwang8192-2025-07-08-4-v1-mkmlizer: 
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albertwang8192-2025-07-08-4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpglcsa5pu, device:0
albertwang8192-2025-07-08-4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-4-v1-mkmlizer: quantized model in 29.850s
albertwang8192-2025-07-08-4-v1-mkmlizer: Processed model AlbertWang8192/2025-07-08_4 in 134.658s
albertwang8192-2025-07-08-4-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-4-v1/nvidia
albertwang8192-2025-07-08-4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-4-v1/nvidia/config.json
albertwang8192-2025-07-08-4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-4-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-4-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-4-v1/nvidia/tokenizer.json
albertwang8192-2025-07-08-4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-4-v1/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-08-4-v1-mkmlizer completed after 158.08s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-4-v1-mkmlizer
Pipeline stage MKMLizer completed in 158.73s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-08-4-v1
Waiting for inference service albertwang8192-2025-07-08-4-v1 to be ready
Inference service albertwang8192-2025-07-08-4-v1 ready after 191.27332639694214s
Pipeline stage MKMLDeployer completed in 191.72s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5690290927886963s
Received healthy response to inference request in 1.623297929763794s
Received healthy response to inference request in 1.591740608215332s
Received healthy response to inference request in 1.1673815250396729s
Received healthy response to inference request in 1.6725850105285645s
5 requests
0 failed requests
5th percentile: 1.2522533416748047
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mean time: 1.724806833267212
Pipeline stage StressChecker completed in 9.81s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3152.84s
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albertwang8192-2025-07-08-4_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-4_v1 status is now torndown due to DeploymentManager action